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Artificial Intelligent in Education

Author

Listed:
  • Oussama Hamal

    (RIME Team—MASI Laboratory (EMI), Mohammed V University, Rabat 10190, Morocco)

  • Nour-Eddine El Faddouli

    (RIME Team—MASI Laboratory (EMI), Mohammed V University, Rabat 10190, Morocco)

  • Moulay Hachem Alaoui Harouni

    (Polydisciplinary Faculty of Es Semara, Ibn Zohr University, Agadir 80000, Morocco)

  • Joan Lu

    (Information and System Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK)

Abstract

The application of Artificial Intelligence or AI in education has been the subject of academic research for more than 30 years. The field examines learning wherever it occurs, in traditional classrooms or at workplaces so to support formal education and lifelong learning. It combines interdisciplinary AI and learning sciences (such as education, psychology, neuroscience, linguistics, sociology and anthropology) in order to facilitate the development of effective adaptive learning environments and various flexible, inclusive tools. Nowadays, there are several new challenges in the field of education technology in the era of smart phones, tablets, cloud computing, Big Data, etc., whose current research questions focus on concepts such as ICT-enabled personalized learning, mobile learning, educational games, collaborative learning on social media, MOOCs, augmented reality application in education and so on. Therefore, to meet these new challenges in education, several fields of research using AI have emerged over time to improve teaching and learning using digital technologies. Moreover, each field of research is distinguished by its own vision and methodologies. In this article, to the authors present a state of the art finding in the fields of research of Artificial Intelligence in Education or AIED, Educational Data Mining or EDM and Learning Analytics or LA. We discuss their historical elements, definition attempts, objectives, adopted methodologies, application examples and challenges.

Suggested Citation

  • Oussama Hamal & Nour-Eddine El Faddouli & Moulay Hachem Alaoui Harouni & Joan Lu, 2022. "Artificial Intelligent in Education," Sustainability, MDPI, vol. 14(5), pages 1-11, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2862-:d:761853
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    References listed on IDEAS

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    1. Catherine C. Thomas & Nicholas G. Otis & Justin R. Abraham & Hazel Rose Markus & Gregory M. Walton, 2020. "Toward a science of delivering aid with dignity: Experimental evidence and local forecasts from Kenya," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(27), pages 15546-15553, June.
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